Capacity requirement planning

Identified the largest burst spike of transactions and requests that the application can handle without failing.

The fundamental goal behind optimizing the amount of RAM is to minimize the amount of time spent going to disk. Add the minimum necessary to maintain the current level of service across all the systems within the scope.

In short, in order to maximize performance on AD DS, the goal is to get as close to processor bound as possible. Determined whether the application can recover after overload failure. Environments with significant cross trust authentication, which includes intraforest trusts, have greater risk if not sized properly.

The labor to evaluate RAM for each DC on a case-by-case basis is prohibitive and changes as the environment changes. This means this form of performance testing requires multiple identical servers to be configured and using Virtual IP addresses accessed through a load balancer device.

Volume Tests for Extendability This form of performance testing makes sure that the system can handle the maximum size of data values expected.

Thus, in order to maximize the scalability of the server, the minimum amount of RAM is the sum of the current database size, the total SYSVOL size, the operating system recommended amount, and the vendor recommendations for the agents antivirus, monitoring, backup, and so on.

Measured the time the application needs to recover after overload failure. Determined how well the number of users anticipated can be supported by the hardware budgeted for the application. Quantified the "Job flow balance" achieved when application servers can complete transactions at the same rate new requests arrive.

Such loads are more like the arrival rate to web servers than constant loads. These test runs measure the pattern of response time as more data is added. This effort makes sure that admission control techniques limiting incoming work perform as intended. Ensured CPU, disk access, data transfer speeds, and database access optimizations are adequate.

While not perfectly linear, the number of processor cores consumed across all servers within a specific scope such as a site can be used to gauge how many processors are necessary to support the total client load.

This is done by gradually ramping-up the number of Vusers until the system "chokes" at a breakpoint when the number of connections flatten out, response time degrades or times out, and errors appear. Storage can be a complex topic and should involve hardware vendor expertise for proper sizing.Software Performance Project Planning.

This page presents the phases, deliverables, roles, and tasks for a full performance test project that makes use of several industry best practices and tools for load testing and performance engineering — one of the activities for capacity management of IT Service Management (ITSM).

In capacity planning, first decide what quality of service is needed. For example, a core datacenter supports a higher level of concurrency and requires more consistent experience for users and consuming applications, which requires greater attention to redundancy and minimizing system and infrastructure bottlenecks.